# Image Classification on ImageNet-1K (val) (Top-1/Top-5 Accuracy, Compression, and Throughput)

Source: [Image Classification on ImageNet-1K (val) (Top-1/Top-5 Accuracy, Compression, and Throughput)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-top-1-top-5-accuracy-compression-and-throughput>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:07:05.661Z

Evaluation of Image Classification performance on the validation split of ImageNet-1K, reporting Top-1 and Top-5 accuracy, compression rate, and inference throughput (samples/second).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Image Classification |
| Dataset (including any stated split) | ImageNet-1K (val) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-top-1-top-5-accuracy-compression-and-throughput.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-top-1-top-5-accuracy-compression-and-throughput.md?metric=Top-5%20Accuracy>): Higher is better; unit: PERCENT.

- [Compression Rate](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-top-1-top-5-accuracy-compression-and-throughput.md?metric=Compression%20Rate>): Higher is better; unit: SCALAR.

- [Throughput (samples/s)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-top-1-top-5-accuracy-compression-and-throughput.md?metric=Throughput%20(samples%2Fs)>): Higher is better; unit: TIME.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Swin-MoE | 84.7 | Not recorded | 68fa75ab1e209131cea69323 |
| LSH-MoE | 84.5 | Not recorded | 68fa75ab1e209131cea69323 |

### Swin-MoE

Top-1 Accuracy: 84.7. Result ID: 6993dd113a6c314849190e1d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ab1e209131cea69323.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d61e209131cea18d67.md>)

Recorded evaluation configuration: {"Architecture":"Swin-MoE","Protocol":"Fine-tuning","Variant":"Origin"}. This record does not assert independent reproduction.

### LSH-MoE

Top-1 Accuracy: 84.5. Result ID: 6993dd113a6c314849190e1e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ab1e209131cea69323.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75ab1e209131cea69323.md>)

Recorded evaluation configuration: {"Architecture":"Swin-MoE","Protocol":"Fine-tuning","Variant":"Ours"}. This record does not assert independent reproduction.

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